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The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

License: GNU General Public License v3.0

Jupyter Notebook 94.18% Python 5.77% Shell 0.05%

gdl_code's Introduction

Generative Deep Learning

Teaching Machines to paint, write, compose and play

The official code repository for examples in the O'Reilly book 'Generative Deep Learning' This repository will be constantly updated as new chapters are relased.

Structure

This repository is structured as follows:

The notebooks for each chapter are in the root of the repository, prefixed with the chapter number.

The data folder is where to download relevant data sources (chapter 3 onwards) The run folder stores output from the generative models (chapter 3 onwards) The utils folder stores useful functions that are sourced by the main notebooks

Book Contents

  • Chapter 1: Generative Modelling
  • Chapter 2: Deep Learning
  • Chapter 3: Variational Autoencoders
  • Chapter 4: Generative Adversarial Networks
  • Chapter 5: Paint
  • Chapter 6: Write
  • Chapter 7: Compose
  • Chapter 8: Play
  • Chapter 9: Conclusion

Getting started

To get started, first install the required library inside a virtual environment:

pip install -r requirements.txt

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